Turn Low Quality Photos into DSLR Quality Using Neural Networks

Advancements in AI systems and neural networks have also influenced the fields of art and photography. We all want our pictures to be good in quality while sharing on social media or with someone but when we have low-quality cameras in our mobile phones, it seems to be a drawback. Whereas, the development of new neural network has solved the problem of average quality photos, it helps in improving the quality of photos matching to DSLR quality.

According to the reports, scientists from Switzerland at ETH Zurich have created a tool using deep learning neural networks that will transform low-quality pictures taken by smartphone  cameras into DSLR-quality pictures. Initially, researchers  trained  deep learning system with the pictures of same scenes taken by mobile camera as well as DSLR camera. In simple words, it is a software that is trained to  feed any image into the system and utilize the picture quality of a targeted camera to give final results.

With this system, smartphones having weak cameras and minimal hardware capabilities can take benefit by giving poor-quality images a DSLR look. But it should not be mistaken to turn your photos into exact DSLR look. Obviously, the images will look great in quality after the DSLR effect but in terms of vibrance, color and sharpness.In fact, there is a  free website  that uses AI technology to modify low-quality photos. It can really boost the picture quality.

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The buzz is that Google is also working on this with MIT researchers.Scientists also have the expectations for implementing neural networks to give right effects in shooting conditions of the images. It will have the potential to change the picture clicked in rain into bright and sunny images. As compared to the high-range devices with top-end sensors and lenses, this neural network would be able to match their quality of images by adding an impressive look. In the coming future, combining this neural network approach into devices will definitely set a base for improving the quality of images of phone cameras.However, we may have to wait for these types of features to be introduced in the market .